Factors associated with preventable infant death: a multiple logistic regression

Autores

  • Sandra Maria Cunha Vidal e Silva Prefeitura Municipal de Piracicaba. Secretaria Municipal de Saúde. Coordenação do Programa Pacto pela Redução do Óbito Infantil
  • Rogério Antonio Tuon Prefeitura Municipal de Piracicaba. Secretaria Municipal de Saúde. Coordenação do Programa Pacto pela Redução do Óbito Infantil
  • Livia Fernandes Probst Universidade Estadual de Campinas. Faculdade de Odontologia de Piracicaba. Programa de Pós-Graduação em Odontologia, Área de Concentração Saúde Coletiva
  • Brunna Verna Castro Gondinho Universidade Estadual de Campinas. Faculdade de Odontologia de Piracicaba. Programa de Pós-Graduação em Odontologia, Área de Concentração Saúde Coletiva
  • Antonio Carlos Pereira Universidade Estadual de Campinas. Faculdade de Odontologia de Piracicaba. Departamento de Odontologia Social
  • Marcelo de Castro Meneghim Universidade Estadual de Campinas. Faculdade de Odontologia de Piracicaba. Departamento de Odontologia Social
  • Karine Laura Cortellazzi Universidade Estadual de Campinas. Faculdade de Odontologia de Piracicaba. Departamento de Odontologia Social
  • Glaucia Maria Bovi Ambrosano Universidade Estadual de Campinas. Faculdade de Odontologia de Piracicaba. Departamento de Odontologia Social

DOI:

https://doi.org/10.11606/S1518-8787.2018052000252

Palavras-chave:

Infant Mortality. Risk Factors. Socioeconomic Factors. Perinatal Care. Infant, Newborn, Diseases, prevention & control. Prenatal Care. Cross-Sectional Studies.

Resumo

OBJECTIVE: To identify and analyze factors associated with preventable child deaths. METHODS: This analytical cross-sectional study had preventable child mortality as dependent variable. From a population of 34,284 live births, we have selected a systematic sample of 4,402 children who did not die compared to 272 children who died from preventable causes during the period studied. The independent variables were analyzed in four hierarchical blocks: sociodemographic factors, the characteristics of the mother, prenatal and delivery care, and health conditions of the patient and neonatal care. We performed a descriptive statistical analysis and estimated multiple hierarchical logistic regression models. RESULTS: Approximatelly 35.3% of the deaths could have been prevented with the early diagnosis and treatment of diseases during pregnancy and 26.8% of them could have been prevented with better care conditions for pregnant women. CONCLUSIONS: The following characteristics of the mother are determinant for the higher mortality of children before the first year of life: living in neighborhoods with an average family income lower than four minimum wages, being aged ≤ 19 years, having one or more alive children, having a child with low APGAR level at the fifth minute of life, and having a child with low birth weight.

Publicado

2018-04-24

Edição

Seção

Artigos Originais

Como Citar

Silva, S. M. C. V. e, Tuon, R. A., Probst, L. F., Gondinho, B. V. C., Pereira, A. C., Meneghim, M. de C., Cortellazzi, K. L., & Ambrosano, G. M. B. (2018). Factors associated with preventable infant death: a multiple logistic regression. Revista De Saúde Pública, 52, 32. https://doi.org/10.11606/S1518-8787.2018052000252